Linear contrasts in experimental design with non-identical error distributions

2002-01-01
Senoglu, B
Tiku, ML
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Estimation of linear contrasts in experimental design, and testing their assumed values, is considered when the error distributions from block to block are not necessarily identical. The normal-theory solutions are shown to have low efficiencies as compared to the solutions presented here.
Statistics, Probability and Uncertainty, Statistics and Probability, General Medicine
https://hdl.handle.net/11511/66155
Department of Statistics, Article

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Citation Formats
B. Senoglu and M. Tiku, “Linear contrasts in experimental design with non-identical error distributions,” BIOMETRICAL JOURNAL, pp. 359–374, 2002, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/66155.
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